Proactive monitoring tree with severity state sorting

• US 9,185,007 B2
• Filed: 04/15/2014
• Issued: 11/10/2015
• Est. Priority Date: 04/30/2013
• Status: Active Grant

• Current Assignee: Splunk Inc. (Cisco Systems, Inc.)
• Original Assignee: Splunk Inc. (Cisco Systems, Inc.)
• Inventors: Fletcher, Tristan, Noel, Cary Glen
• Primary Examiner(s): An, Meng
• Assistant Examiner(s): Lee, James J
• Application Number:
  US14/253,490
• Publication Number:
  US 20140325058A1
• Time in Patent Office: 574 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 11/323 Visualisation of programs or trace data
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 2201/815 Virtual
• CPC Class Codes: G06F 9/45533 Hypervisors; Virtual machine monitors
• CPC Class Codes: H04L 12/4641 Virtual LANs, VLANs, e.g. virtual private networks [VPN] LAN interconnection over a bridge based backbone H04L12/462; encapsulation techniques H04L12/4633; routing of packets H04L45/00; packet switches H04L49/00; virtual private networks for security H04L63/0272
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/065 related to network devices
• CPC Class Codes: H04L 43/0847 Transmission error
• CPC Class Codes: H04L 43/0876 Network utilisation, e.g. volume of load or congestion level
• CPC Class Codes: H04L 43/106 using time related information in packets, e.g. by adding timestamps

Abstract

The disclosed embodiments relate to a system that displays performance data for a computing environment. During operation, the system first determines values for a performance metric for a plurality of entities that comprise the computing environment. Next, the system displays the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities. While displaying the tree, the system displays the child nodes for each parent in sorted order based on values of the performance metric associated with the child nodes.

Claims

1. A computer-implemented method for displaying performance data for a computing environment, the method comprising:

determining values for a performance metric for a plurality of entities that comprise the computing environment; and

displaying the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities;

wherein while displaying each leaf node in the tree, the method comprises;

comparing the values of the performance metric against one or more state-specific threshold values to determine the performance states for the leaf node; and

displaying the leaf node as a shape comprising an indicator for a performance state associated with the leaf node;

wherein while displaying each parent node in the tree, the method comprises;

determining counts of each of one or more performance states associated with every leaf nodes under the parent node;

displaying the parent node as an outer ring and an inner circular shape surrounded by the outer ring, wherein the outer ring comprises visually distinct sections associated with each of the one or more ring performance states, wherein the visually distinct sections are sized proportionately with the determined counts for each of the associated performance states; and

displaying an identifier for a type of entity that is represented by the parent node, and an indicator of the performance state of the parent node within the inner circular shape, wherein the performance state is determined based on a worst performance state of any child node under the parent node; and

wherein while displaying a set of child nodes for each parent node, the method comprises;

determining a performance state for each child node in the set based on a value of the performance metric for an entity associated with the child node, wherein a set of possible performance states vary in severity;

wherein if a child node in the set has descendants in the tree, the performance state for the child node includes counts of performance states for the descendants of the child node, and

determining a sorted order for the set of child nodes based on counts of descendents of the child nodes having a most-severe performance state; and

displaying the set of child nodes in the sorted order.

2. The computer-implemented method of claim 1, wherein determining the values for the selected performance metric includes:

receiving, from a user, a selection of the performance metric from a set of monitored performance metrics; and

obtaining the values for the selected performance metric for the plurality of entities from the performance data for the computing environment.

3. The computer-implemented method of claim 1, wherein the set of possible performance states can include:

a critical state, a warning state, a normal state, and an unknown state.

4. The computer-implemented method of claim 1, wherein an entity can include:

a virtual machine;

a host system that executes one or more virtual machines;

a cluster comprising one or more host systems; and

a virtual center comprising one or more clusters.

5. The computer-implemented method of claim 1, wherein the performance metric relates to one or more of:

central-processing unit (CPU) utilization;

memory utilization;

disk utilization;

network utilization; and

power consumption.

6. The computer-implemented method of claim 1, wherein the performance metric is measured over a specific time interval.

7. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for displaying performance data for a computing environment, the method comprising:

determining values for a performance metric for a plurality of entities that comprise the computing environment; and

displaying the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities;

wherein while displaying each leaf node in the tree, the method comprises;

comparing the values of the performance metric against one or more state-specific threshold values to determine the performance states for the leaf node; and

displaying the leaf node as a shape comprising an indicator for a performance state associated with the leaf node;

wherein while displaying each parent node in the tree, the method comprises;

determining counts of each of one or more performance states associated with every leaf nodes under the parent node;

displaying the parent node as an outer ring and an inner circular shape surrounded by the outer ring, wherein the outer ring comprises visually distinct sections associated with each of the one or more ring performance states, wherein the visually distinct sections are sized proportionately with the determined counts for each of the associated performance states; and

displaying an identifier for a type of entity that is represented by the parent node, and an indicator of the performance state of the parent node within the inner circular shape, wherein the performance state is determined based on a worst performance state of any child node under the parent node; and

wherein while displaying a set of child nodes for each parent node, the method comprises;

determining a performance state for each child node in the set based on a value of the performance metric for an entity associated with the child node, wherein a set of possible performance states vary in severity;

wherein if a child node in the set has descendants in the tree, the performance state for the child node includes counts of performance states for the descendants of the child node, and

determining a sorted order for the set of child nodes based on counts of descendents of the child nodes having a most-severe performance state; and

displaying the set of child nodes in the sorted order.

8. The non-transitory computer-readable storage medium of claim 7, wherein determining the values for the selected performance metric includes:

receiving, from a user, a selection of the performance metric from a set of monitored performance metrics; and

obtaining the values for the selected performance metric for the plurality of entities from the performance data for the computing environment.

9. The non-transitory computer-readable storage medium of claim 7, wherein the set of possible performance states can include:

a critical state, a warning state, a normal state, and an unknown state.

10. The non-transitory computer-readable storage medium of claim 7, wherein an entity can include:

a virtual machine;

a host system that executes one or more virtual machines;

a cluster comprising one or more host systems; and

a virtual center comprising one or more clusters.

11. The non-transitory computer-readable storage medium of claim 7, wherein the performance metric relates to one or more of:

central-processing unit (CPU) utilization;

memory utilization;

disk utilization;

network utilization; and

power consumption.

12. The non-transitory computer-readable storage medium of claim 7, wherein the performance metric is measured over a specific time interval.

13. A system that displays performance data for a computing environment, the system comprising:

a computing cluster comprising a plurality of processors and associated memories; and

a performance-monitoring mechanism that executes on the computing cluster and is configured to,

determine values for a performance metric for a plurality of entities that comprise the computing environment; and

display the computing environment as a tree comprising nodes representing the plurality of entities and edges representing parent-child relationships between the plurality of entities;

wherein for each leaf node in the tree, the performance-monitoring mechanism is configured to;

compare the values of the performance metric against one or more state-specific threshold values to determine the performance states for the leaf node; and

display the leaf node as a shape comprising an indicator for a performance state associated with the leaf node;

wherein for each parent node in the tree, the performance-monitoring mechanism is configured to;

determine counts of each of one or more performance states associated with every leaf nodes under the parent node;

display the parent node as an outer ring and an inner circular shape surrounded by the outer ring, wherein the outer ring comprises visually distinct sections associated with each of the one or more ring performance states, wherein the visually distinct sections are sized proportionately with the determined counts for each of the associated performance states; and

display an identifier for a type of entity that is represented by the parent node, and an indicator of the performance state of the parent node within the inner circular shape, wherein the performance state is determined based on a worst performance state of any child node under the parent node; and

wherein while displaying the tree, the performance-monitoring system is configured to display a set of child nodes for each parent node, wherein while displaying each child node, the performance monitoring mechanism is configured to;

determine a performance state for each child node in the set based on a value of the performance metric for an entity associated with the child node, wherein a set of possible performance states vary in severity,

wherein if a child node in the set has descendants in the tree, the performance state for the child node includes counts of performance states for the descendants of the child node, and

determine a sorted order for the set of child nodes based on counts of descendents of the child nodes having a most-severe performance state, and

display the set of child nodes in the sorted order.

14. The system of claim 13, wherein while determining the values for the selected performance metric, the performance-monitoring mechanism is configured to:

receive, from a user, a selection of the performance metric from a set of monitored performance metrics; and

obtain the values for the selected performance metric for the plurality of entities from the performance data for the computing environment.

15. The system of claim 13, wherein the set of possible performance states can include:

a critical state, a warning state, a normal state, and an unknown state.